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Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions

In the last decades, there has been an increasing interest in animal protection and welfare issues. Heart rate variability (HRV) measurement with portable heart rate monitors on cows has established itself as a suitable method for assessing physiological states. However, more forward-looking technol...

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Detalles Bibliográficos
Autores principales: Wierig, Maren, Mandtler, Leonard P., Rottmann, Peter, Stroh, Viktor, Müller, Ute, Büscher, Wolfgang, Plümer, Lutz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111714/
https://www.ncbi.nlm.nih.gov/pubmed/30081480
http://dx.doi.org/10.3390/s18082541
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author Wierig, Maren
Mandtler, Leonard P.
Rottmann, Peter
Stroh, Viktor
Müller, Ute
Büscher, Wolfgang
Plümer, Lutz
author_facet Wierig, Maren
Mandtler, Leonard P.
Rottmann, Peter
Stroh, Viktor
Müller, Ute
Büscher, Wolfgang
Plümer, Lutz
author_sort Wierig, Maren
collection PubMed
description In the last decades, there has been an increasing interest in animal protection and welfare issues. Heart rate variability (HRV) measurement with portable heart rate monitors on cows has established itself as a suitable method for assessing physiological states. However, more forward-looking technologies, already successfully applied to evaluate HRV data, are pushing the market. This study examines the validity and usability of collecting HRV data by exchanging the Polar watch V800 as a receiving unit of the data compared to a custom smartphone application on cows. Therefore, both receivers tap one signal sent by the Polar H7 transmitter simultaneously. Furthermore, there is a lack of suitable methods for the preparation and calculation of HRV parameters, especially for livestock. A method is presented for calculating more robust time domain HRV parameters via median formation. The comparisons of the respective simultaneous recordings were conducted after artifact correction for time domain HRV parameters. High correlations (r = 0.82–0.98) for cows as well as for control data set in human being (r = 0.98–0.99) were found. The utilization of smart devices and the robust method to determine time domain HRV parameters may be suitable to generate valid HRV data on cows in field-based settings.
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spelling pubmed-61117142018-08-30 Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions Wierig, Maren Mandtler, Leonard P. Rottmann, Peter Stroh, Viktor Müller, Ute Büscher, Wolfgang Plümer, Lutz Sensors (Basel) Article In the last decades, there has been an increasing interest in animal protection and welfare issues. Heart rate variability (HRV) measurement with portable heart rate monitors on cows has established itself as a suitable method for assessing physiological states. However, more forward-looking technologies, already successfully applied to evaluate HRV data, are pushing the market. This study examines the validity and usability of collecting HRV data by exchanging the Polar watch V800 as a receiving unit of the data compared to a custom smartphone application on cows. Therefore, both receivers tap one signal sent by the Polar H7 transmitter simultaneously. Furthermore, there is a lack of suitable methods for the preparation and calculation of HRV parameters, especially for livestock. A method is presented for calculating more robust time domain HRV parameters via median formation. The comparisons of the respective simultaneous recordings were conducted after artifact correction for time domain HRV parameters. High correlations (r = 0.82–0.98) for cows as well as for control data set in human being (r = 0.98–0.99) were found. The utilization of smart devices and the robust method to determine time domain HRV parameters may be suitable to generate valid HRV data on cows in field-based settings. MDPI 2018-08-03 /pmc/articles/PMC6111714/ /pubmed/30081480 http://dx.doi.org/10.3390/s18082541 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wierig, Maren
Mandtler, Leonard P.
Rottmann, Peter
Stroh, Viktor
Müller, Ute
Büscher, Wolfgang
Plümer, Lutz
Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions
title Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions
title_full Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions
title_fullStr Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions
title_full_unstemmed Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions
title_short Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions
title_sort recording heart rate variability of dairy cows to the cloud—why smartphones provide smart solutions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111714/
https://www.ncbi.nlm.nih.gov/pubmed/30081480
http://dx.doi.org/10.3390/s18082541
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